Cognito 2.5 helps to reduce bed falls and pressure injuries with a proprietary sensor technology and machine learning system. With a proprietary contact-free approach and A.I. algorithm, bed exit behavior is divided into four stages: stirring, sitting up, leaving, and out of bed, enabling nursing staff to assist the patients while needed. Through the early detection of bed exit behavior, Cognito 2.5 helps to reduce fall incidents and corresponding medical costs. Cognito 2.5 also provides real-time pressure points to assist in repositioning. Real-time pressure points vary when the patient is being repositioned and make repositioning into visible care. From visualized repositioning, Cognito 2.5 helps to empower facility efficiency and improve the quality of care. Along with mobile app alerts, nursing staff can be notified of adverse events when they are working around the ward.
Wi-Fi (2.4/5G) / Ethernet Transmission
According to the clinical trials in the US and Taiwan, Cognito 2.5 helps to reduce the fall rate by 72% and the fall injuries by 76%, saving the manpower costs around USD 60,000/year in the US market.
Cognito Health International Awards
17th National Innovation Award of Taiwan in Smart Health Technology
14th National Innovation Award of Taiwan in Smart Health Technology
2017 MD&M West Innovation Prize Winner
2016 Taiwan Healthcare Quality Improvement Campaign (HQIC) Silver Medal in Smart Health IT
ISO 13485 Certificates
National/International Medical Device Legal Permit No.
FDA Class I Medical Device
MDR Class I Medical Device